ezSplit: Expense Splitter app icon

Apps Like ezSplit: Expense Splitter for iPhone and iPad

by Tim Kilian★ 0.00 ratingsFinanceFreeData updated 2026-09-06

Ranked alternatives

Showing 541–560 of 1,000 ranked alternatives.

  1. catat.ai app icon

    catat.ai

    PT TRI DIGITAL PERKASA

    ★ 0.00 ratingsProductivityFreeData updated 2026-09-06
  2. Daily Expense Manager &Tracker app icon

    Daily Expense Manager &Tracker

    Youness Lotfi

    Track expenses, log income, manage budgets

    Track expenses and income with categorized entries. Set budgets and receive alerts when limits are approached. View visual charts and summaries to analyze spending patterns and financial trends. Sync data across devices for consistent access.

    ★ 5.06 ratingsFinanceFreeData updated 2026-09-06
  3. Smart Budget: WalletPal app icon

    Smart Budget: WalletPal

    MICHAEL JOHN S WILLER

    Track expenses automatically

    Track expenses automatically by linking Apple Pay transactions. View details like amount, location, date, and category. Set budgets and monitor spending patterns. Receive alerts for overspending. Sync data across devices.

    ★ 4.48 ratingsFinanceFreeData updated 2026-09-06
  4. Cino – Split bills instantly app icon

    Cino – Split bills instantly

    Freerange Lamas OU

    With group cards

    With group cards linked to Apple Pay or Google Pay. Users can set custom splits like 50/50 or 70/30. No one pays upfront; shares are deducted directly from their accounts. Track expenses and manage group payments without owing others.

    ★ 5.08 ratingsFinanceFreeData updated 2026-09-06
  5. Splitify - Splits and Expenses app icon

    Splitify - Splits and Expenses

    Splitify, LLC

    Split bills with friends and track

    Track , set budgets, and receive AI-powered spending insights. Split bills with friends, family, or colleagues. Manage debts, view transaction details, and achieve financial goals.

    ★ 4.47 ratingsFinanceFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.